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arXiv · 2003.09545

Towards a MEMS-based Adaptive LIDAR

Francesco Pittaluga·Zaid Tasneem·Justin Folden·Brevin Tilmon·Ayan Chakrabarti·Sanjeev J. Koppal
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Abstract

We present a proof-of-concept LIDAR design that allows adaptive real-time measurements according to dynamically specified measurement patterns. We describe our optical setup and calibration, which enables fast sparse depth measurements using a scanning MEMS (micro-electro-mechanical) mirror. We validate the efficacy of our prototype LIDAR design by testing on over 75 static and dynamic scenes spanning a range of environments. We show CNN-based depth-map completion experiments which demonstrate that our sensor can realize adaptive depth sensing for dynamic scenes.

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Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal. 2020-03-21. Towards a MEMS-based Adaptive LIDAR. https://arxiv.org/abs/2003.09545

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